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Original Article

Exploring AI Techniques for Quantum Threat Detection and Prevention

Vikas Dubey1 Pratik Shende2 Bhagyashree Kumbhare3 Yamini B. Laxane4
12Students, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. 3Professor, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India. 4HOD, MCA, Smt. Radhikatai Pandav College of Engineering, Nagpur, Maharashtra, India.

Published Online: January-April 2025

Pages: 08-12

References

1. Shor, P. W. (1997). Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer. SIAM
Journal on Computing, 26(5), 1484-1509.
2. Grover, L. K. (1996). A Fast Quantum Mechanical Algorithm for Database Search. Proceedings of the 28th Annual ACM Symposium on
Theory of Computing, 212-219.
3. Yin, J., et al. (2017). Satellite-Based Entanglement Distribution Over 1200 Kilometers. Science, 356(6343), 1140-1144.
4. Pirandola, S., et al. (2020). Advances in Quantum Cryptography. Nature Photonics, 14(12), 796-802.
5. Schuld, M., & Petruccione, F. (2018). Supervised Learning with Quantum Computers. Springer.
6. Preskill, J. (2018). Quantum Computing in the NISQ Era and Beyond. Quantum, 2, 79.
7. Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information. Cambridge University Press.
8. Amara, J., & Tirri, H. (2019). Enhancing Cybersecurity with Quantum Algorithms. Journal of Cybersecurity Research, 45(2), 98-105.
9. Riste, D., & DiCarlo, L. (2015). Digital Feedback in Superconducting Quantum Circuits. Nature Reviews Physics, 11(3), 230-240.
10. Mohri, M., Rostamizadeh, A., & Talwalkar, A. (2018). Foundations of Machine Learning. MIT Press

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